// This file contains pre-generated test data to test
// deserialization. It is used only in deserialization_test.cu
//
// clang-format off

/* The following array is generated using the following steps:
(1) Python code
```
import torch
d1 = {"a": torch.Tensor([1, 2]), "b": 10, "c": "k2"}
torch.save(d1, "d1.pt")
```

(2) Bash command
```
bin2c --name kTestLoadData1 d1.pt > xxx.h
```

(3) Copy the content in xxx.h to this file

So kTestLoadData1 contains a dict containing:
- key "a", value: torch.tensor([1, 2], dtype=torch.float32)
- key "b", value: 10
- key "c", value: "k2"
*/
static const uint8_t kTestLoadData1[] = {
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};

/* The following array is generated using the following steps:
(1) Python code
```
import torch
import k2

d2 = {"a": torch.Tensor([1, 2]), "b": k2.RaggedTensor([[1.5, 2], [3], []])}
torch.save(d2, "d2.pt")
```

(2) Bash command
```
bin2c --name kTestLoadData2 d2.pt > xxx.h
```

(3) Copy the content in xxx.h to this file

So kTestLoadData2 contains a dict containing:
- key "a", value: torch.tensor([1, 2])
- key "b", value: k2.RaggedTensor([[15, 2], [3], []])
*/
static const uint8_t kTestLoadData2[] = {
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};

/* The following array is generated using the following steps:
(1) Python code
```
import torch
import k2

d3 = {
    "a": torch.tensor([1, 2], device=torch.device("cuda:0")),
    "b": k2.RaggedTensor([[15, 2], [3], []], device="cuda:0"),
}
torch.save(d3, "d3.pt")
```

(2) Bash command
```
bin2c --name kTestLoadData3 d3.pt > xxx.h
```

(3) Copy the content in xxx.h to this file

So kTestLoadData3 contains a dict containing:
- key "a", value: torch.tensor([1, 2], device="cuda:0")
- key "b", value: k2.RaggedTensor([[15, 2], [3], []], device="cuda:0")
*/
static const uint8_t kTestLoadData3[] = {
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};

/* The following array is generated using the following steps:
(1) Python code
```
import torch
import k2

fsa = k2.Fsa.from_str(
"""
0 1 -1 0.1
1
"""
)
fsa.aux_labels = k2.RaggedTensor([[1, 2]])
fsa.attr = torch.tensor([1.5])
fsa = fsa.to("cuda:0")
torch.save(fsa.as_dict(), "fsa.pt")
```

(2) Bash command
```
bin2c --name kTestLoadData4 fsa.pt > xxx.h
```

(3) Copy the content in xxx.h to this file

So kTestLoadData4 contains a dict containing:
- key "arcs", value: torch.tensor([0, 1, -1, 1036831949], dtype=torch.int32)
- key "aux_labels", value: k2.RaggedTensor([[1, 2]], device='cuda:0', dtype=torch.int32)  // NOLINT
- key "attr", value: torch.tensor([1.5], device='cuda:0')
*/
static const uint8_t kTestLoadData4[] = {
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